Training of Classifiers for Quality Control of On-Line Laser Brazing Processes with Highly Imbalanced Datasets.
Daniel FeckerVolker MärgnerTim FingscheidtPublished in: DAGM/OAGM Symposium (2012)
Keyphrases
- quality control
- training set
- highly imbalanced
- surface inspection
- class distribution
- training examples
- machine vision
- training samples
- test set
- imbalanced data
- training data
- training dataset
- quality assurance
- manufacturing systems
- product quality
- data sets
- decision trees
- support vector
- training process
- feature selection
- automated visual inspection
- classification models
- classification algorithm
- machine learning algorithms
- naive bayes
- computer vision
- support vector machine
- machine learning
- test data
- svm classifier
- class labels
- active learning
- text classification
- supervised learning
- small number